Applied Parallel Computing

By: Yuefan Deng

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Hardcover | 28 August 2012

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Hardcover
220 Pages

Dimensions(cm)
22.86 x 15.24 x 1.42

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The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Databases Data Capture & Analysis Mathematics Applied Mathematics Computer Programming & Software Development Algorithms & Data Structures Computer Hardware

Supercomputers Grid & Parallel Computing Booktopia Publisher Services World Scientific Publishing

Preface	p. v
Introduction	p. 1
Definition of Parallel Computing	p. 1
Evolution of Computers	p. 4
An Enabling Technology	p. 8
Cost Effectiveness	p. 9
Performance Metrics and Models	p. 13
Parallel Activity Trace	p. 13
Speedup	p. 14
Parallel Efficiency	p. 15
Load Imbalance	p. 15
Granularity	p. 16
Overhead	p. 17
Scalability	p. 18
Amdahl's Law	p. 18
Hardware Systems	p. 19
Node Architectures	p. 19
Network Interconnections	p. 21
Instruction and Data Streams	p. 28
Processor-Memory Connectivity	p. 29
IO Subsystems	p. 29
System Convergence	p. 31
Design Considerations	p. 31
Software Systems	p. 35
Node Software	p. 35
Programming Models	p. 37
Parallel Debuggers	p. 43
Parallel Profilers	p. 43
Design of Algorithms	p. 45
Algorithm Models	p. 46
Examples of Collective Operations	p. 54
Mapping Tasks to Processors	p. 56
Linear Algebra	p. 65
Problem Decomposition	p. 65
Matrix Operations	p. 68
Solution of Linear Systems	p. 81
Differential Equations	p. 89
Integration and Differentiation	p. 89
Partial Differential Equations	p. 92
Fourier Transforms	p. 105
Fourier Transforms	p. 105
Discrete Fourier Transforms	p. 106
Fast Fourier Transforms	p. 107
Simple Parallelization	p. 111
The Transpose Method	p. 112
Complexity Analysis for FFT	p. 113
Optimization	p. 115
Monte Carlo Methods	p. 116
Parallelization	p. 119
Applications	p. 123
Newton's Equation and Molecular Dynamics	p. 124
Schrodinger's Equations and Quantum Mechanics	p. 133
Partition Function, DFT and Material Science	p. 134
Maxwell's Equations and Electrical Engineering	p. 135
Diffusion Equation and Mechanical Engineering	p. 135
Navier-Stokes Equation and CFD	p. 136
Other Applications	p. 136
MPI	p. 139
An MPI Primer	p. 139
Examples of Using MPI	p. 159
MPI Tools	p. 161
Complete List of MPI Functions	p. 167
OpenMP	p. 171
Introduction to OpenMP	p. 171
Memory Model of OpenMP	p. 172
OpenMP Directives	p. 172
Synchronization	p. 174
Runtime Library Routines	p. 175
Examples of Using OpenMP	p. 178
The Future	p. 180
Projects	p. 181
Watts and Flops of Supercomputers	p. 181
Review of Supercomputers	p. 181
Top500 and BlueGene Supercomputers	p. 181
Say Hello in Order	p. 182
Broadcast on Torus	p. 183
Competing with MPI on Broadcast, Scatter, etc	p. 183
Simple Matrix Multiplication	p. 183
Matrix Multiplication on 4D Torus	p. 183
Matrix Multiplication and PAT	p. 184
Matrix Inversion	p. 184
Simple Analysis of an iBT Network	p. 185
Compute Eigenvalues of Adjacency Matrices of Networks	p. 185
Mapping Wave Equation to Torus	p. 185
Load Balance in 3D Mesh	p. 186
Wave Equation and PAT	p. 186
Computing Coulomb's Forces	p. 187
Timing Model for MD	p. 187
Minimizing Lennard-Jones Potential	p. 188
Install and Profile CP2K	p. 188
Install and Profile CPMD	p. 189
Install and Profile NAMD	p. 190
FFT on Beowulf	p. 190
FFT on BlueGene/Q	p. 191
Word Analysis	p. 191
Cost Estimate of a 0.1 Pflops System	p. 191
Design of a Pflops System	p. 191
Program Examples	p. 193
Matrix-Vector Multiplication	p. 193
Long Range N-body Force	p. 195
Integration	p. 201
References	p. 203
Index	p. 205
Table of Contents provided by Ingram. All Rights Reserved.

Applied Parallel Computing

At a Glance

Hardcover

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